Comprehensive algorithm for eye diagram crossing point detection and eye parameter extraction in transient simulation

This thesis presents a comprehensive algorithm to improve the accuracy of crossing point detection in eye diagrams, a critical component of eye parameter extraction in signal integrity analysis. Current industry tools often fail in edge cases, particularly when dealing with nonlinearities and high distortion. This research identifies these limitations and introduces a robust algorithm that reliably locates crossing points across a variety of scenarios. The proposed method is validated against existing tools and demonstrated to enhance precision in eye parameter extraction, enabling more effective performance evaluation of high-speed digital communication systems.

Name thesis:degree_name

M.S.

Level thesis:degree_level

Thesis

Discipline thesis:degree_discipline

Electrical & Computer Engr

Grantor

University of Illinois at Urbana-Champaign

Year dc:date

2024

Author dc:creator

• Park, Halim

Contributors dc:contributor

• Schutt-Ainé, José E.

• Eye Diagram
• Eye Crossing Point
• Eye Parameters
• Signal Integrity
• Electronic Design Automation

Statement dc:rights

• Copyright 2024 Halim Park

Language dc:language

eng, en

Handle dc:identifier

https://hdl.handle.net/2142/127290

OAI identifier oai:identifier

oai:www.ideals.illinois.edu:2142/127290